Approaches to the Selection of Relevant Concepts in the Case of Noisy Data
- Cite this paper as:
- Klimushkin M., Obiedkov S., Roth C. (2010) Approaches to the Selection of Relevant Concepts in the Case of Noisy Data. In: Kwuida L., Sertkaya B. (eds) Formal Concept Analysis. ICFCA 2010. Lecture Notes in Computer Science, vol 5986. Springer, Berlin, Heidelberg
Concept lattices built on noisy data tend to be large and hence hard to interpret. We introduce several measures that can be used in selecting relevant concepts and discuss how they can be combined together. We study their performance in a series of experiments.
Unable to display preview. Download preview PDF.